Multimodal Projects, LLM Entity Extraction, Cheaper Tokens, and More!
Build, test, and deploy both voice and chat agents from one project. Plus, smarter logic, cheaper tokens, and the future of entity extraction in this September's feature recap. Read the changelog here: https://docs.voiceflow.com/changelog
Multimodal Projects (Voice + Chat)
Impactful AI customer experiences are multimodal. This update simplifies the building experience, allowing you to build and test both voice or chat agents from one unified project type.
Updated Condition Step
The updates to the condition step make it easier to visually configure enhanced logic and add custom Javascript expressions.
Knowledge Base Search Step
Teams can now build RAG pipelines for improved AI Agent response quality. The Knowledge Base Search Step, which simplifies querying data from your Knowledge Base, gives teams more control over how they fetch data chunks in their conversational workflows.
Better Token Efficiency
Ensuring the LLMs powering end user experiences are more efficient than ever, with reduced token multipliers for all models.
Coming Soon: LLM Entity Extraction
Teams can use LLMs for entity extraction to better understand user inputs and automate more complex conversations. LLM Entity Extraction will bring more reliability and accuracy to user interactions by introducing rules, exit scenarios, model customization, and automatic reprompts.
The fastest way to build, manage, and deploy AI agents. Use Voiceflow to design, test, and launch chat or voice AI agents — together, faster, at scale.
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The Context Window Paradox with LLMs
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Intercom to Voiceflow: why Nick, Head of CX @ Roam made the move #ai #customersupport #chatbot
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Save 30 HOURS a week automating your customer support #ai #customersupport #automation #voiceflow
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Gamechanging Zendesk app that summarizes your tickets #customersupport #ai #zendesk #voiceflow
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Conversation Designer or Agent Designer? The Future of AI Automation Design #ai #generativeai
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What's New in Voiceflow | March Feature Releases
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Voiceflow AI Agency Panel: Start an AI Agency that's Built to Last
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Voiceflow is a Customizable AI Platform
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The Future of AI is Custom Interfaces
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The Overnight AI Agency Gambit
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Introducing Tabular Data Support | June Feature Releases
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Getting Started with Voiceflow APIs
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An AI Coach that Drives Leads and Financial Literacy
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Unlocking LLM Accuracy — Let It Cook!
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Speed Up Your AI Agent — Make Concurrent API Calls!
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Save Big with Automation — Cutting Costs Effectively
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Multimodal Projects, LLM Entity Extraction, Cheaper Tokens, and More!
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Add a phone number to your AI agent on Voiceflow
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Top 5 Voice AI Agent Best Practices
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Voiceflow 2024 Recap
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Build Voice AI Agents with no-code in Voiceflow
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[NEW] Structured Prompt Outputs & Variable Pathing
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This AI agency's Project for a Local City Hall Drives over 11,000 Monthly Interactions #aiagency
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Your AI Interface is More Important than the Content | Humans Talking Agents Episode 1
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The Future of AI Automation Agencies | Humans Talking Agents Episode 2
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$1000 Voice AI Competition Kickoff
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How to Build a Successful AI Agency | Voiceflow Panel Event
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AI Models are changing the way we build AI Agents | Humans Talking Agents Episode 3
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Will voice AI kill call centers? | Humans Talking Agents Episode 4
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Build an AI agent in seconds — here's how.
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Connecting multiple agents into an Agent Network with the new Agent step
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How will Vibe Coding affect software? | Humans Talking Agents Episode 5
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Vibe coding: the end of coding as we know it
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Vibe coding and resolution-based pricing — what will happen to AI companies' pricing models?
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Grow your AI agency: How to get new customers | Voiceflow Workshop Event
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MCP is the key to an agentic internet | Humans Talking Agents Episode 6
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MCP will change agent building forever with new standards for interactions
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Review and improve your AI agent responses with call recording
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4 tips to optimize your voice AI calls in Voiceflow
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Give your AI agents memory
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